Fundamentals of TensorFlow

Machine learning, especially deep learning, is becoming more and more important to integrate into day-to-day business infrastructure across all industries. TensorFlow, open-sourced by Google in 2015, has become one of the more popular modern deep learning frameworks available today, promising to bridge the gap between the development of new models and their deployment.

This talk is an in-depth workshop on the fundamentals of the TensorFlow framework. It aims to prepare listeners to have a firm grasp of the core TensorFlow classes and workflow enabling better comprehension of deep learning models and tutorials built in TensorFlow.

Sam Abrahams is a freelance data scientist and engineer. He is a long-time contributor to the TensorFlow repository and a co-author on the upcoming book TensorFlow for Machine Intelligence.